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combination of experimental work, rig development, and computational modelling, and will equip the student with a unique skill set highly relevant to both academic research and industrial careers such as
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About the role Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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industry or academia. Many alumni progress to senior engineering positions, R&D leadership, entrepreneurial ventures in sustainable aviation as well as to faculty positions in academia. This PhD is a chance
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to the intervention and app as discussed above. What we are looking for: We are looking for a highly organised and driven individual who is a team worker, has a positive outlook, and is adaptable and flexible in
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turbulent flows, as their mean strain is varied from high to low levels, and will document the failure of classical theories to describe intermediate strain regimes. The produced data-set will be utilized
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transforming the skies. Extreme atmospheric events, e.g., sudden turbulence, convective storms, or shifting jet streams, pose risks to flight safety and efficiency. These weather disruptions force aircraft